Auditable formula · fictional example
Planning Time per Route: Formula for Dispatch Automation
Direct answer: Planning time per route divides active, attributable planning minutes by routes released. Include review and correction time under a stable policy; otherwise automation can appear faster by moving work outside the timer.
Numerator
900 active planning and review minutes
Denominator
60 routes released
Fictional result
15 minutes per released route
Formula and worked example
Planning time per route = active planning and review minutes / routes released
Fictional example: 900 active planning and review minutes / 60 released routes = 15 minutes per route.
The numbers demonstrate the calculation only. They are not a benchmark, forecast, target, vendor result, or promise.
Four-step measurement method
- Step 1
Define which planning, review, correction, and release activities count.
- Step 2
Capture active time without treating queue delay as labor time.
- Step 3
Count only routes that reach the defined release state.
- Step 4
Pair time with feasibility, manual overrides, and service results.
Checks before comparison
- Review time included
- Rework after release tracked separately
- Route complexity segmented
- Automated waiting and human active time not mixed
Common measurement errors
- Stopping the timer before corrections
- Comparing simple and complex route sets
- Valuing speed while override or failure rates rise
Attribution boundary
A change in this metric does not prove that AI caused it. Compare a frozen baseline and controlled pilot, then inspect route mix, distance, fuel, tolls, carrier rates, service level, package profile, promotions, weather, exclusions, and policy changes. Protect service and failure metrics while evaluating cost.
Frequently asked questions
Does lower planning time prove labor savings?
No. It proves fewer measured minutes under the stated policy. Staffing, capacity, rework, queue time, and redeployment determine any financial effect.
Does this metric prove that AI caused the result?
No. A before-and-after change can also reflect route mix, distance, fuel, carrier rates, package profile, promotions, weather, exclusions, or operational policy. Use a controlled pilot and inspect segments before attributing causality.